You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 15 Next »

This example represents a  54 hour accumulation of a field produced by a forecast started on 20120101 00Z.

  • In bold, the values are fixed. They are meant to be used by all partners
  • In green, these are the values for the example.
Time ( accumulated )
Start of forecast ( section 1 )

Octets

 

Values

Meaning of valuesGrib_api key
12Significance of Reference Time1Start of forecast 
13-14Year (four digits)2012year of start of forecastyear=2012
15Month01month of start of forecastmonth=01
16Day01day of start of forecastday=01
17Hour00hour of start of forecasthour=00
Accumulation ( section 4 )
18Indicator of unit of time range1Hour 
19-22Forecast time0Accumulation starts at step=0 
38-39year of end of overall time interval2012

 

End of accumulated period, 20120103 06Z

 
40month of end of overall time interval01 
41day of end of overall time interval03 
42hour of end of overall time interval06 
45number of time ranges1Only one type of time statistics used (accumulation) 
46-49total number of data values missing in statistical process0  
50

Statistical process used to calculate the processed

field from the field at each time increment during the time range

1Accumulation 
51

Type of time increment between successive fields used in the statistical processing

2

Successive times processed have same start time of forecast,

forecast time is incremented

 
52

Indicator of unit of time for time range over which statistical processing is done

1Hour 
53-56

Length of the time range over which statistical processing is done,

in units defined by the previous octet

54

Time step (in hour) at the end of the accumulation

from start of forecast

 
57

Indicator of unit of time for the increment between the successive fields used

255Missing 
58-61

Time increment between successive fields, in units defined by the previous octet

255Missing 
  • No labels